ADR/H-share/A-share cross-listing premium analysis — track pricing gaps between US-listed ADRs, HK-listed H-shares, and A-shares for arbitrage signals, dual-listing valuation, and delisting risk assessment.
日本語の概要は準備中です。原文の説明を表示しています。
Mootdx A-share market data via TCP-direct 通达信 servers. RETIRED 2026-10 — TDX servers stopped answering the client protocol, so this source is out of the automatic fallback chain and kept only for explicit `source="mootdx"` use.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Status (2026-10-08): retired from the default chain. TDX servers stopped answering the client protocol mootdx speaks (upstream: mootdx/mootdx#157), so this source is no longer in the automatic A-share fallback and is excluded from the loader-health canary. The loader stays registered for explicit
source="mootdx"calls in case a future upstream release restores the protocol. For A-share OHLCV prefer tencent / eastmoney / baostock.
Mootdx talks the native 通达信 (TDX) binary protocol over TCP, bypassing the HTTP scrapers that periodically fail under load (akshare → East Money is the canonical example). Public market data only — no token, no per-IP throttling, no captcha.
pip install mootdx && pip install 'httpx>=0.28.1'Mootdx pins
httpx<0.26insetup.py, but only uses basichttpx.Client/getAPIs that are forward-compatible. The secondpip installrestores the modern httpx that the rest of Vibe-Trading (MCP server, fastmcp) needs.
from mootdx.quotes import Quotes
client = Quotes.factory(market="std") # std = 沪/深/京; ext = 期货/期权 (upstream-broken)
# Daily OHLCV with a date range (preferred API).
df = client.get_k_data(code="000001", start_date="2025-01-01", end_date="2025-02-01")
# Intraday — offset-from-latest only, no native date range.
df_15m = client.bars(symbol="600519", frequency=1, offset=800)
bars(frequency=N) uses integer codes from mootdx.consts:
| Code | Bar |
|---|---|
| 8 | 1m |
| 0 | 5m |
| 1 | 15m |
| 2 | 30m |
| 3 | 1H |
| 4 | 1D |
| 5 | 1W |
| 6 | 1M |
get_k_data() is daily only but accepts start_date / end_date. For intraday, bars() returns the latest N rows — the built-in loader over-fetches offset=800 then clips to the requested window.
| Method | Use | Returns |
|---|---|---|
get_k_data(code, start_date, end_date) | Daily OHLCV with date range | [open, close, high, low, vol, amount, date, code] |
bars(symbol, frequency, offset=800) | Intraday / weekly / monthly | [open, close, high, low, vol, amount, datetime, volume, ...] |
minute(symbol) | Current trading day 1m bars | Same schema as bars() |
quotes(symbol) | Real-time L1 snapshot | {price, bid, ask, volume, ...} |
stocks(market) | List all tickers on an exchange | DataFrame of code/name |
F10(symbol) / finance(symbol) | Fundamentals snapshot | Heterogeneous dict |
"000001", "600519", "835174" — mootdx auto-detects exchange from prefix:
60x / 68x → SH00x / 30x / 002 / 003 → SZ4x / 8x → BJ"000001.SZ", "600519.SH", "835174.BJ" and strips the suffix.get_k_data() returns lowercase English: open / close / high / low / vol / amount / date / code. The built-in loader renames vol → volume to match the project's OHLCV contract.
bars() returns the same OHLC columns plus a duplicate volume (alongside the legacy vol), a datetime string column, and decomposed year / month / day / hour / minute columns.
backtest/loaders/mootdx_loader.py is registered as the mootdx source. Fallback chain for a_share is [tushare, mootdx, akshare] — tushare wins when a token is present; mootdx wins when no token but TCP egress works; akshare is the broadest fallback.
from backtest.runner import run
result = run(strategy=..., source="mootdx") # explicit override
| Limitation | Workaround |
|---|---|
北交所 (BJ): get_k_data raises KeyError, bars() returns empty (upstream missing data) | Loader logs a warning and skips BJ symbols — use akshare or tushare |
| Extended market (futures/options) returns empty as of v0.11.7 (upstream issue) | Use tushare/akshare for futures |
Each bars() page is 800 rows; loader paginates back up to 25 pages (≈10y daily / ≈5y 1H / ≈3mo 1m) | For longer 1m history use tushare minute bars |
| Server selection has cold-start latency (first call picks the fastest server) | First call may be ~2s slower |
| Returns data in 前复权 by default — no API parameter for 不复权 | Use tushare/akshare if raw prices are required |
まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
ADR/H-share/A-share cross-listing premium analysis — track pricing gaps between US-listed ADRs, HK-listed H-shares, and A-shares for arbitrage signals, dual-listing valuation, and delisting risk assessment.
日本語の概要は準備中です。原文の説明を表示しています。
AKShare financial data aggregator (18k+ stars). Free, no API key. Covers A-shares, US, HK, futures, macro, forex. Primary fallback for tushare and yfinance.
日本語の概要は準備中です。原文の説明を表示しています。
Browse and bench the bundled alpha zoos — prebuilt cross-sectional factor libraries (Kakushadze 101, GTJA 191, Qlib 158, Fama-French / Carhart). Use when the user asks "which alphas exist", wants metadata on a named alpha, or wants to run IC/IR on a whole zoo over a universe.
日本語の概要は準備中です。原文の説明を表示しています。
A 股 ST/*ST 风险预测框架 — 基于最新中报/三季报或业绩预告/快报,预测下一财年是否会因营收、利润、净资产、分红不达标而被风险警示,并将新浪监管处罚记录作为独立证据面纳入风险等级。仅适用于 A 股,不预测财务造假。
日本語の概要は準備中です。原文の説明を表示しています。
Asset allocation theory and optimizer usage — MPT / Black-Litterman / risk budgeting / all-weather strategy, including guides for 5 optimizers and rebalancing rules.
日本語の概要は準備中です。原文の説明を表示しています。
Diagnose failed or underperforming backtests, locate the root cause, and fix the issue
日本語の概要は準備中です。原文の説明を表示しています。